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Genome-Wide Analysis to Assess if Heavy Alcohol Consumption Modifies the Association between SNPs and Pancreatic Cancer Risk.
Ni, Zhanmo; Kundu, Prosenjit; McKean, David F; Wheeler, William; Albanes, Demetrius; Andreotti, Gabriella; Antwi, Samuel O; Arslan, Alan A; Bamlet, William R; Beane-Freeman, Laura E; Berndt, Sonja I; Bracci, Paige M; Brennan, Paul; Buring, Julie E; Chanock, Stephen J; Gallinger, Steven; Gaziano, J M; Giles, Graham G; Giovannucci, Edward L; Goggins, Michael G; Goodman, Phyllis J; Haiman, Christopher A; Hassan, Manal M; Holly, Elizabeth A; Hung, Rayjean J; Katzke, Verena; Kooperberg, Charles; Kraft, Peter; LeMarchand, Loic; Li, Donghui; McCullough, Marjorie L; Milne, Roger L; Moore, Steven C; Neale, Rachel E; Oberg, Ann L; Patel, Alpa V; Peters, Ulrike; Rabe, Kari G; Risch, Harvey A; Shu, Xiao-Ou; Smith-Byrne, Karl; Visvanathan, Kala; Wactawski-Wende, Jean; White, Emily; Wolpin, Brian M; Yu, Herbert; Zeleniuch-Jacquotte, Anne; Zheng, Wei; Zhong, Jun; Amundadottir, Laufey T.
Afiliación
  • Ni Z; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Kundu P; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.
  • McKean DF; Department of Oncology, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Wheeler W; Information Management Systems, Silver Spring, Maryland.
  • Albanes D; Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Andreotti G; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Antwi SO; Department of Quantitative Health Sciences Research, Mayo Clinic College of Medicine, Jacksonville, Florida.
  • Arslan AA; Department of Obstetrics and Gynecology, New York University School of Medicine, New York, New York.
  • Bamlet WR; Department of Population Health, New York University School of Medicine, New York, New York.
  • Beane-Freeman LE; Department of Environmental Medicine, New York University School of Medicine, New York, New York.
  • Berndt SI; Department of Quantitative Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota.
  • Bracci PM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Brennan P; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Buring JE; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.
  • Chanock SJ; International Agency for Research on Cancer, Lyon, France.
  • Gallinger S; Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Gaziano JM; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
  • Giles GG; Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Giovannucci EL; Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, Canada.
  • Goggins MG; Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts.
  • Goodman PJ; Division of Aging, Brigham and Women's Hospital, Boston, Massachusetts.
  • Haiman CA; Boston VA Healthcare System, Boston, Massachusetts.
  • Hassan MM; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
  • Holly EA; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.
  • Hung RJ; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia.
  • Katzke V; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts.
  • Kooperberg C; Department of Pathology, Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins School of Medicine, Baltimore, Maryland.
  • Kraft P; SWOG Statistical Center, Fred Hutchinson Cancer Center, Seattle, Washington.
  • LeMarchand L; Center for Genetic Epidemiology, Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Li D; Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • McCullough ML; Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.
  • Milne RL; Lunenfeld-Tanenbaum Research Institute, Sinai Health System and University of Toronto, Toronto, Canada.
  • Moore SC; Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
  • Neale RE; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, Washington.
  • Oberg AL; Trans-Divisional Research Program (TDRP), Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Patel AV; Cancer Epidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii.
  • Peters U; Department of Gastrointestinal Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas.
  • Rabe KG; Department of Population Science, American Cancer Society, Atlanta, Georgia.
  • Risch HA; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia.
  • Shu XO; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.
  • Smith-Byrne K; Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia.
  • Visvanathan K; Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland.
  • Wactawski-Wende J; Department of Population Health, QIMR Berghofer Medical Research Institute, Queensland, Australia.
  • White E; Department of Quantitative Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota.
  • Wolpin BM; Department of Population Science, American Cancer Society, Atlanta, Georgia.
  • Yu H; Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington.
  • Zeleniuch-Jacquotte A; Department of Quantitative Health Sciences Research, Mayo Clinic College of Medicine, Rochester, Minnesota.
  • Zheng W; Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, Connecticut.
  • Zhong J; Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee.
  • Amundadottir LT; Cancer Epidemiology Unit, The Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Cancer Epidemiol Biomarkers Prev ; 33(9): 1229-1239, 2024 Sep 03.
Article en En | MEDLINE | ID: mdl-38869494
ABSTRACT

BACKGROUND:

Pancreatic cancer is a leading cause of cancer-related death globally. Risk factors for pancreatic cancer include common genetic variants and potentially heavy alcohol consumption. We assessed if genetic variants modify the association between heavy alcohol consumption and pancreatic cancer risk.

METHODS:

We conducted a genome-wide interaction analysis of single-nucleotide polymorphisms (SNP) by heavy alcohol consumption (more than three drinks per day) for pancreatic cancer in European ancestry populations from genome-wide association studies. Our analysis included 3,707 cases and 4,167 controls from case-control studies and 1,098 cases and 1,162 controls from cohort studies. Fixed-effect meta-analyses were conducted.

RESULTS:

A potential novel region of association on 10p11.22, lead SNP rs7898449 (interaction P value (Pinteraction) = 5.1 × 10-8 in the meta-analysis; Pinteraction = 2.1 × 10-9 in the case-control studies; Pinteraction = 0.91 in the cohort studies), was identified. An SNP correlated with this lead SNP is an expression quantitative trait locus for the neuropilin 1 gene. Of the 17 genomic regions with genome-wide significant evidence of association with pancreatic cancer in prior studies, we observed suggestive evidence that heavy alcohol consumption modified the association for one SNP near LINC00673, rs11655237 on 17q25.1 (Pinteraction = 0.004).

CONCLUSIONS:

We identified a novel genomic region that may be associated with pancreatic cancer risk in conjunction with heavy alcohol consumption located near an expression quantitative trait locus for neuropilin 1, a protein that plays an important role in the development and progression of pancreatic cancer. IMPACT This work can provide insights into the etiology of pancreatic cancer, particularly in heavy drinkers.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Consumo de Bebidas Alcohólicas / Polimorfismo de Nucleótido Simple / Estudio de Asociación del Genoma Completo Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Cancer Epidemiol Biomarkers Prev Asunto de la revista: BIOQUIMICA / EPIDEMIOLOGIA / NEOPLASIAS Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Consumo de Bebidas Alcohólicas / Polimorfismo de Nucleótido Simple / Estudio de Asociación del Genoma Completo Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Cancer Epidemiol Biomarkers Prev Asunto de la revista: BIOQUIMICA / EPIDEMIOLOGIA / NEOPLASIAS Año: 2024 Tipo del documento: Article
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